US8355913B2 - Speech recognition with adjustable timeout period - Google Patents

Speech recognition with adjustable timeout period Download PDF

Info

Publication number
US8355913B2
US8355913B2 US11/556,227 US55622706A US8355913B2 US 8355913 B2 US8355913 B2 US 8355913B2 US 55622706 A US55622706 A US 55622706A US 8355913 B2 US8355913 B2 US 8355913B2
Authority
US
United States
Prior art keywords
word
timeout period
value
candidate
confirmation
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related, expires
Application number
US11/556,227
Other versions
US20080109220A1 (en
Inventor
Imre Kiss
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nokia Technologies Oy
Original Assignee
Nokia Oyj
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nokia Oyj filed Critical Nokia Oyj
Priority to US11/556,227 priority Critical patent/US8355913B2/en
Assigned to NOKIA CORPORATION reassignment NOKIA CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: KISS, IMRE
Priority to PCT/IB2007/002900 priority patent/WO2008053290A1/en
Publication of US20080109220A1 publication Critical patent/US20080109220A1/en
Application granted granted Critical
Publication of US8355913B2 publication Critical patent/US8355913B2/en
Assigned to NOKIA TECHNOLOGIES OY reassignment NOKIA TECHNOLOGIES OY ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: NOKIA CORPORATION
Expired - Fee Related legal-status Critical Current
Adjusted expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/26Speech to text systems

Definitions

  • the disclosed embodiments relate to a method in an information processing apparatus for controlling input of information, for example for use in a mobile communication terminal, an apparatus configured to perform such a method as well as a computer program performing such a method.
  • Speech recognition often referred to as automatic speech recognition (ASR) is now used widely in different types of apparatuses, such as mobile communication terminals. Speech recognition applications that enable dictation of words and commands are becoming more and more attractive for users as the terminals are provided with increasing computational power and memory.
  • ASR automatic speech recognition
  • the idea of mobile dictation is, for example, to provide an alternative way of information (e.g. text) input for personal communication devices with limited size and keyboard facilities.
  • information e.g. text
  • ASR technology is far from being perfect and recognition errors will continue to be a problem in the foreseeable future. Therefore, it is important to minimize any impact of incorrect recognition, not least for the convenience of the user.
  • State-of-the-art embedded speech recognition systems for command and control can reach a performance level of 95-99%.
  • free dictation is a much more demanding task.
  • the average accuracy of current embedded dictation systems is in the range of 80% to 90% at the word level.
  • Performance can be improved by limiting the dictation domain (e.g. personal communication style of messages) resulting in a relatively small and accurate language model, and by using the device in an acoustically clean environment, as well as fine-tuning of the recognition engine.
  • Embedded dictation applications are inherently complex with many user interface and recognition engine related parameters that need optimization. Many of these parameters can be pre-tuned off-line using, e.g., large speech test databases in workstation simulations. However, user interaction related parameters are very difficult to handle that way.
  • Changing the timeout period may be possible by manual control using a dictation settings menu, depending on the specific implementation.
  • Such operations are often considered cumbersome and inconvenient.
  • a typical user may not even be aware of how to manipulate such settings in the terminal.
  • a method in an information processing apparatus for controlling input of dictated information comprising detecting utterances of speech, interpreting the utterances as words, detecting word by word confirmation of the interpreted words, the confirmation being associated with an adjustable timeout period.
  • Embodiments include those where the word by word confirmation of the interpreted words involves detection of user input actions and adjustment of the adjustable timeout period in dependence of the detected user input actions.
  • the adjusting of the value of the timeout period may depend on the time of detection of a user input action and in some embodiments, the timeout period depends on an average value of a plurality of values for the time of detection of user input actions.
  • the adjusting of the value of the timeout period may depend on, subsequent to a plurality of detections of candidate word selections and detections of no candidate selections, a statistical value calculated based on number of detections of candidate word selections and number of detections of no candidate selections.
  • the adjusting of the value of the timeout period may depend on the time of detection of utterances and in some embodiments the timeout period depends on an average value of a plurality of values for the time of detection of utterances.
  • the adjusting of the value of the timeout period depends on user specific information and of the value of the timeout period may further depend on a user specific statistical value calculated based on a plurality of stored statistical values relating to user specific dictation.
  • an information processing apparatus comprising a processor, a memory, a microphone and a display that are configured to control input of information by detecting utterances of speech, interpreting the utterances as words, detecting word by word confirmation of the interpreted words, the confirmation being associated with an adjustable timeout period.
  • a mobile communication terminal comprises an information processing apparatus as described above.
  • a computer program comprising software instructions that, when executed in a computer, performs the method discussed above.
  • the timeout for word confirmation is automatically adjusted, based on simple measures of user behavior during the dictation process.
  • the timeout adjustment can be based on one or more of a number of measures.
  • a first measure is an average time needed for confirmation.
  • a second measure is an average success rate of dictation (e.g. the number of times a candidate word is deleted or cancelled vs. the number of times a candidate word is accepted).
  • a third measure is the pace of dictation as performed by the user.
  • the timeout adjustment can be based on a fourth measure based on user specific information such as a user ID (e.g. based on a selection from enrolled models) as well as, by a fifth measure by a user's history based on statistics from previously performed dictation procedures.
  • An advantage of the claimed invention is that it provides a seamless dictation experience for the user from the first time when he/she uses the feature throughout becoming an advanced user. That is, more specifically:
  • a suitably long timeout is provided by default for novice users, which also guides the user to a safe slow pace for dictation and careful pronunciation of words.
  • the timeout is gradually reduced after the user has learned to use the application, providing faster response times, and eliciting faster pace of dictation.
  • the claimed invention is advantageous in that the first measure gives a good indication on the response time of the user after the candidate list is displayed.
  • the timeout can be adjusted to be slightly longer than the response time.
  • the second measure shows how well the system is performing for a particular user. In case the success rate is low, timeout can be increased.
  • the third measure gives an indication how fast the user is uttering one word after the other. For a slower pace, longer timeout can be a safe choice that is not disturbing.
  • the fourth measure makes it possible to quickly restore the optimum setting in case several users (e.g. family members) are using the same phone.
  • the fifth measure gives a longer time window for evaluation which can make the estimate more reliable (in case the system is used in different environments, e.g., with different noise levels.
  • FIG. 1 shows schematically a block diagram of a communication terminal according to the disclosed embodiments.
  • FIG. 2 illustrates the appearance of user interface elements on a display of a terminal during operation of the method of FIG. 3 .
  • FIG. 3 is a flow chart illustrating a number of steps of a method according to one embodiment.
  • FIG. 1 illustrates schematically a communication terminal 101 in which the aspects of the disclosed embodiments can be is implemented.
  • the terminal 101 is capable of communication via an air interface 103 with a radio communication system 105 such as the well known systems GSM/GPRS, UMTS, CDMA 2000 etc.
  • the terminal comprises a processor 107 , memory 109 as well as input/output units in the form of a microphone 111 , a speaker 113 , a display 115 and a keyboard 117 .
  • Radio communication is realized by radio circuitry 119 and an antenna 121 . The details regarding how these units communicate are known to the skilled person and is therefore not discussed further.
  • the communication terminal 101 may for example be a mobile telephone terminal or a PDA equipped with radio communication means.
  • the method according to the present invention will in generally reside in the form of software instructions, together with other software components necessary for the operation of the terminal 101 , in the memory 109 of the terminal. Any type of conventional memory is possible, fixed as well as removable, including a semi-permanent storage chip such as a flash memory card or “memory stick” etc.
  • the software instructions of the inventive notification function may be provided into the memory 109 in a number of ways, including distribution via the network 105 from a software supplier 123 .
  • FIGS. 2 and 3 a method according to the invention will be described in terms of a number of steps to be taken by controlling software in a terminal such as the terminal 101 described above in connection with FIG. 1 .
  • the exemplifying method starts at a point in time when a user interface element in the form of a user interface window 201 of a messaging application is displayed on a display of a terminal, such as the terminal 101 described above in connection with FIG. 1 .
  • An address field 203 contains a message recipient identifier, which has already been input by a user, e.g. by selection from an contact list stored in the terminal.
  • the user interface window 201 further comprises two so-called soft buttons, a “select” button 211 and a “cancel” button 213 .
  • these soft buttons 211 , 213 are typically associated with a key on a keypad (not shown in FIG. 2 ) located on the terminal in close proximity to the respective soft button.
  • the soft keys may be used to detect user actions such as selection of candidate words, as will be described below.
  • the soft buttons may be activated by a user touching the display at the position of a soft key.
  • the user interface window 201 further comprises a message text area 204 in which text 205 is displayed after being input by a user of the terminal.
  • the already input text 205 may have been input by way of speech recognition as will be described below or by way of any other text input method.
  • a list 207 of candidate words is displayed on which a default candidate word 209 is highlighted.
  • the list 207 of candidate words has been generated in accordance with the method to be described below. As is known in the art, highlighting and selection of words in the list 207 may be performed by a user by manipulating keypad means.
  • a voice utterance made by a user is recorded by the terminal.
  • the analog signal representing the utterance is digitized and subjected to appropriate processing in order to enable further digital processing.
  • a recognition step 303 the utterance is provided to an automatic speech recognition (ASR) engine and is there subject to recognition.
  • ASR automatic speech recognition
  • the actual recognition process may be performed using any appropriate ASR engine known in the art.
  • the ASR provides a result in the form of a list of candidate words, i.e. the list 207 shown in FIG. 2 , and the list is then, in a display step 305 , displayed in the user interface window 201 of the terminal.
  • any user input action is detected, as realized by a detection step 307 and a first decision step 309 .
  • the user input action is typically a soft key action. That is, if it is detected that a user activates a soft key, i.e. any of the soft keys 211 , 213 , further action is taken, depending on which input action the user performs.
  • the detected user input action is an activation of the “select” soft key, it is decided, in a second decision step 313 , that the input action is a selection of a candidate word in the displayed candidate list 207 .
  • the selected candidate word is then provided, in a provision step 315 , to the messaging application.
  • the detected user input action is an activation of the “cancel” soft key, it is decided, in the second decision step 313 , that none of the candidate words in the displayed candidate list 207 is to be provided to the messaging application.
  • the default candidate word 209 is provided, in a provision step 311 , to the messaging application.
  • the timeout period is adjusted in an adjustment step 317 .
  • equation 1 adjusts the timeout period using the above introduced first measure. That is, the average time needed for detecting a confirmation that a candidate word is correct.
  • Equation 1 can be extended in order to handle at least the second measure, i.e. the average success rate of dictation, which can be exemplified by the number of times a candidate word is deleted or cancelled in relation to the number of times a candidate word is accepted.
  • Such an extension of equation 1 will entail increasing the timeout period if a word that is accepted by a lapsing timeout is deleted by the user.
  • equation 1 may also be extended such that the timeout is never lower than a pre-defined minimum, t min .

Abstract

Input of dictated information in an information processing apparatus is controlled. Utterances of speech are detected and interpreted as words. Word by word confirmation of the interpreted words is detected, the confirmation being associated with an adjustable timeout period. The timeout period may be adjusted according to a number of different measures, including an average time needed for confirmation, an average success rate of dictation, by the pace of dictation as performed by a user, and by a user's history based on statistics from previously performed dictation procedures.

Description

FIELD OF THE INVENTION
The disclosed embodiments relate to a method in an information processing apparatus for controlling input of information, for example for use in a mobile communication terminal, an apparatus configured to perform such a method as well as a computer program performing such a method.
BACKGROUND
Speech recognition, often referred to as automatic speech recognition (ASR), is now used widely in different types of apparatuses, such as mobile communication terminals. Speech recognition applications that enable dictation of words and commands are becoming more and more attractive for users as the terminals are provided with increasing computational power and memory.
The idea of mobile dictation is, for example, to provide an alternative way of information (e.g. text) input for personal communication devices with limited size and keyboard facilities. By providing a robust speech recognition system it may be possible to manufacture smaller devices by simply removing the possibility of keyboard input, by not providing a keyboard, or at least minimizing it.
However, ASR technology is far from being perfect and recognition errors will continue to be a problem in the foreseeable future. Therefore, it is important to minimize any impact of incorrect recognition, not least for the convenience of the user.
State-of-the-art embedded speech recognition systems for command and control (e.g., name dialing) can reach a performance level of 95-99%. However, free dictation is a much more demanding task. The average accuracy of current embedded dictation systems is in the range of 80% to 90% at the word level. Many factors may affect performance, like speaking style, noise level and so on. Performance can be improved by limiting the dictation domain (e.g. personal communication style of messages) resulting in a relatively small and accurate language model, and by using the device in an acoustically clean environment, as well as fine-tuning of the recognition engine.
Embedded dictation applications are inherently complex with many user interface and recognition engine related parameters that need optimization. Many of these parameters can be pre-tuned off-line using, e.g., large speech test databases in workstation simulations. However, user interaction related parameters are very difficult to handle that way.
It is known how to utilize embedded dictation that operates in an isolated-word manner so that the user has to leave short pauses, typically 0.5 to 2 seconds, between words. After each word, a list of candidates is shown on the display for a pre-defined timeout period. The user can accept a word by pressing a key on a keypad, or similar, during the timeout or by waiting until the timeout elapses.
A problem, however, becomes apparent when considering the fact that for optimum user experience, the timeout period has to be different for novice and advanced users. Using a too short timeout period for novice users may be frustrating since incorrect words may get accepted before the user could react and select a candidate word from the displayed list of words. On the other hand, using too long timeout period for advanced users slows down the dictation process, or forces the user to press the joystick for each and every word, even if the word candidate is correct. This may be perceived as unnecessary forced interaction with the application and, needless to say, hence inconvenient from the user point of view.
Changing the timeout period may be possible by manual control using a dictation settings menu, depending on the specific implementation. However, such operations are often considered cumbersome and inconvenient. In fact, a typical user may not even be aware of how to manipulate such settings in the terminal.
SUMMARY
It would be advantageous to overcome the drawbacks relating to the prior art devices as discussed above.
Hence, in a first aspect there is provided a method in an information processing apparatus for controlling input of dictated information, comprising detecting utterances of speech, interpreting the utterances as words, detecting word by word confirmation of the interpreted words, the confirmation being associated with an adjustable timeout period.
Embodiments include those where the word by word confirmation of the interpreted words involves detection of user input actions and adjustment of the adjustable timeout period in dependence of the detected user input actions.
In more detail, further embodiments include those where repeating sequence of steps includes:
    • recording an utterance of speech and a time of detection of said utterance,
    • providing the utterance to a speech recognition engine,
    • receiving interpreted information from the speech recognition engine,
    • displaying the interpreted information in the form of a list of at least one candidate word, the list comprising one default candidate word,
    • detecting, during a timeout period, any user input action and time of detection, and:
    • if a detected user input action indicates that no candidate word is selected, adjusting the value of the timeout period,
    • if a detected user input action is a candidate word selection, providing the selected word to a word receiving application,
    • providing, if no user input action is detected during the timeout period, a default candidate word to a word receiving application, and
    • adjusting the value of the timeout period.
The adjusting of the value of the timeout period may depend on the time of detection of a user input action and in some embodiments, the timeout period depends on an average value of a plurality of values for the time of detection of user input actions.
In further embodiments, the adjusting of the value of the timeout period may depend on, subsequent to a plurality of detections of candidate word selections and detections of no candidate selections, a statistical value calculated based on number of detections of candidate word selections and number of detections of no candidate selections.
In still further embodiments, the adjusting of the value of the timeout period may depend on the time of detection of utterances and in some embodiments the timeout period depends on an average value of a plurality of values for the time of detection of utterances.
In yet further embodiments, the adjusting of the value of the timeout period depends on user specific information and of the value of the timeout period may further depend on a user specific statistical value calculated based on a plurality of stored statistical values relating to user specific dictation.
In a second aspect, there is provided an information processing apparatus comprising a processor, a memory, a microphone and a display that are configured to control input of information by detecting utterances of speech, interpreting the utterances as words, detecting word by word confirmation of the interpreted words, the confirmation being associated with an adjustable timeout period.
In a third aspect, a mobile communication terminal is provided that comprises an information processing apparatus as described above.
In a fourth aspect, there is provided a computer program comprising software instructions that, when executed in a computer, performs the method discussed above.
In other words, the timeout for word confirmation is automatically adjusted, based on simple measures of user behavior during the dictation process.
More specifically, as introduced above, the timeout adjustment can be based on one or more of a number of measures. A first measure is an average time needed for confirmation. A second measure is an average success rate of dictation (e.g. the number of times a candidate word is deleted or cancelled vs. the number of times a candidate word is accepted). A third measure is the pace of dictation as performed by the user. Moreover, the timeout adjustment can be based on a fourth measure based on user specific information such as a user ID (e.g. based on a selection from enrolled models) as well as, by a fifth measure by a user's history based on statistics from previously performed dictation procedures.
An advantage of the claimed invention is that it provides a seamless dictation experience for the user from the first time when he/she uses the feature throughout becoming an advanced user. That is, more specifically:
A suitably long timeout is provided by default for novice users, which also guides the user to a safe slow pace for dictation and careful pronunciation of words.
The timeout is gradually reduced after the user has learned to use the application, providing faster response times, and eliciting faster pace of dictation.
Even for advanced users the timeout is increased in case the success rate of dictation deteriorates. The application seemingly slows down, and indicates to the user that slower pace and more careful speaking is needed.
In some more detail, the claimed invention is advantageous in that the first measure gives a good indication on the response time of the user after the candidate list is displayed. The timeout can be adjusted to be slightly longer than the response time. The second measure shows how well the system is performing for a particular user. In case the success rate is low, timeout can be increased. The third measure gives an indication how fast the user is uttering one word after the other. For a slower pace, longer timeout can be a safe choice that is not disturbing. The fourth measure makes it possible to quickly restore the optimum setting in case several users (e.g. family members) are using the same phone. The fifth measure gives a longer time window for evaluation which can make the estimate more reliable (in case the system is used in different environments, e.g., with different noise levels.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 shows schematically a block diagram of a communication terminal according to the disclosed embodiments.
FIG. 2 illustrates the appearance of user interface elements on a display of a terminal during operation of the method of FIG. 3.
FIG. 3 is a flow chart illustrating a number of steps of a method according to one embodiment.
PREFERRED EMBODIMENTS
FIG. 1 illustrates schematically a communication terminal 101 in which the aspects of the disclosed embodiments can be is implemented. The terminal 101 is capable of communication via an air interface 103 with a radio communication system 105 such as the well known systems GSM/GPRS, UMTS, CDMA 2000 etc. The terminal comprises a processor 107, memory 109 as well as input/output units in the form of a microphone 111, a speaker 113, a display 115 and a keyboard 117. Radio communication is realized by radio circuitry 119 and an antenna 121. The details regarding how these units communicate are known to the skilled person and is therefore not discussed further.
The communication terminal 101 may for example be a mobile telephone terminal or a PDA equipped with radio communication means. The method according to the present invention will in generally reside in the form of software instructions, together with other software components necessary for the operation of the terminal 101, in the memory 109 of the terminal. Any type of conventional memory is possible, fixed as well as removable, including a semi-permanent storage chip such as a flash memory card or “memory stick” etc. The software instructions of the inventive notification function may be provided into the memory 109 in a number of ways, including distribution via the network 105 from a software supplier 123.
Turning now to FIGS. 2 and 3, a method according to the invention will be described in terms of a number of steps to be taken by controlling software in a terminal such as the terminal 101 described above in connection with FIG. 1.
The exemplifying method starts at a point in time when a user interface element in the form of a user interface window 201 of a messaging application is displayed on a display of a terminal, such as the terminal 101 described above in connection with FIG. 1. An address field 203, contains a message recipient identifier, which has already been input by a user, e.g. by selection from an contact list stored in the terminal. The user interface window 201 further comprises two so-called soft buttons, a “select” button 211 and a “cancel” button 213. As is known in the art, these soft buttons 211, 213 are typically associated with a key on a keypad (not shown in FIG. 2) located on the terminal in close proximity to the respective soft button. The soft keys may be used to detect user actions such as selection of candidate words, as will be described below. In a case where the terminal is equipped with a touch sensitive display, the soft buttons may be activated by a user touching the display at the position of a soft key.
The user interface window 201 further comprises a message text area 204 in which text 205 is displayed after being input by a user of the terminal. In the present case, the already input text 205 may have been input by way of speech recognition as will be described below or by way of any other text input method. A list 207 of candidate words is displayed on which a default candidate word 209 is highlighted. The list 207 of candidate words has been generated in accordance with the method to be described below. As is known in the art, highlighting and selection of words in the list 207 may be performed by a user by manipulating keypad means.
Hence, with particular reference to FIG. 3, in a recording step 301, a voice utterance made by a user is recorded by the terminal. As is known in the art, the analog signal representing the utterance is digitized and subjected to appropriate processing in order to enable further digital processing.
Then, in a recognition step 303, the utterance is provided to an automatic speech recognition (ASR) engine and is there subject to recognition. The actual recognition process may be performed using any appropriate ASR engine known in the art. The ASR provides a result in the form of a list of candidate words, i.e. the list 207 shown in FIG. 2, and the list is then, in a display step 305, displayed in the user interface window 201 of the terminal.
Then, during a timeout period, any user input action is detected, as realized by a detection step 307 and a first decision step 309. The user input action is typically a soft key action. That is, if it is detected that a user activates a soft key, i.e. any of the soft keys 211, 213, further action is taken, depending on which input action the user performs.
If the detected user input action is an activation of the “select” soft key, it is decided, in a second decision step 313, that the input action is a selection of a candidate word in the displayed candidate list 207. The selected candidate word is then provided, in a provision step 315, to the messaging application.
If the detected user input action is an activation of the “cancel” soft key, it is decided, in the second decision step 313, that none of the candidate words in the displayed candidate list 207 is to be provided to the messaging application.
If no user input action is detected, during the detection step 307 and the first decision step 309, the default candidate word 209 is provided, in a provision step 311, to the messaging application.
After any word has been provided to the messaging application, in either of steps 311 and 315, or if no word was provided as decided in the second decision step 313, the timeout period is adjusted in an adjustment step 317. This adjustment may be realized by an algorithm that gradually lowers the initial value of the timeout as follows:
t i =αt i-1+(1−α)(βx i −t i-1)  (1)
where ti is the adapted timeout for word i, α is the adaptation factor, ti-1 is the timeout for the preceding word, xi is the measured user reaction time for word i, and β is the safety factor. Typical values of the constants are α=0.95 and β=1.5.
In this form, equation 1 adjusts the timeout period using the above introduced first measure. That is, the average time needed for detecting a confirmation that a candidate word is correct.
Equation 1 can be extended in order to handle at least the second measure, i.e. the average success rate of dictation, which can be exemplified by the number of times a candidate word is deleted or cancelled in relation to the number of times a candidate word is accepted. Such an extension of equation 1 will entail increasing the timeout period if a word that is accepted by a lapsing timeout is deleted by the user. Furthermore, equation 1 may also be extended such that the timeout is never lower than a pre-defined minimum, tmin.

Claims (16)

1. A method comprising:
detecting utterances of speech in an information processing apparatus for controlling input of dictated information;
interpreting the detected utterances as words;
detecting word by word confirmation of the interpreted words, the confirmation being associated with an adjustable timeout period;
determining that a confirmed word is cancelled;
determining if a confirmation of the cancelled word is associated with a lapsed timeout period; and
increasing the adjustable timeout period if it is determined that the cancelled word is associated with the lapsed timeout period.
2. The method of claim 1, wherein the word by word confirmation of the interpreted words involves detection of user input actions and adjustment of the adjustable timeout period in dependence of the detected user input actions.
3. The method of claim 1, comprising a repeating a sequence of steps comprising:
detecting an utterance of speech and a time of detection of said utterance,
providing the utterance to a speech recognition engine,
receiving interpreted information from the speech recognition engine,
displaying the interpreted information in the form of a list of at least one candidate word, the list comprising one default candidate word,
detecting, during a timeout period, any user input action and time of detection, and:
if a detected user input action indicates that no candidate word is selected, adjusting the value of the timeout period,
if a detected user input action is a candidate word selection, providing the selected word to a word receiving application,
providing, if no user input action is detected during the timeout period, a default candidate word to a word receiving application, and
adjusting the value of the timeout period.
4. The method of claim 3, wherein the adjusting of the value of the timeout period depends on the time of detection of a user input action.
5. The method of claim 4, wherein the adjusting of the value of the timeout period depends on an average value of a plurality of values for the time of detection of user input actions.
6. The method of claim 3, wherein the adjusting of the value of the timeout period depends on, subsequent to a plurality of detections of candidate word selections and detections of no candidate selections, a statistical value calculated based on number of detections of candidate word selections and number of detections of no candidate selections.
7. The method of claim 3, wherein the adjusting of the value of the timeout period depends on the time of detection of utterances.
8. The method of claim 7, wherein the adjusting of the value of the timeout period depends on an average value of a plurality of values for the time of detection of utterances.
9. The method of claim 3, wherein the adjusting of the value of the timeout period depends on user specific information.
10. The method of claim 9, wherein the adjusting of the value of the timeout period further depends on a user specific statistical value calculated based on a plurality of stored statistical values relating to user specific dictation.
11. A computer program comprising software instructions recorded in a memory device that, when executed in a computer, performs the method of claim 1.
12. The method of claim 1 wherein the resetting of the initial timeout period is a function of a timeout value for a preceding word and a user reaction time for a current word.
13. The method of claim 1 wherein a value of the adjustable timeout period cannot be reset below a predetermined minimum time period.
14. An apparatus comprising a processor and a memory storing instructions, wherein the memory and stored instructions are configured, with the processor, to cause the apparatus to at least:detect utterances of speech, interpret the detected utterances as words, detect word by word confirmation of the interpreted words, the confirmation being associated with an adjustable timeout period, determine that a confirmed word is cancelled, determine if a confirmation of the cancelled word is associated with a lapsed timeout period, and increase the adjustable timeout period if it is determined that the cancelled word is associated with the lapsed timeout period.
15. A mobile communication terminal comprising an apparatus according to claim 14.
16. A method comprising:
detecting, in an information processing apparatus for controlling input of dictated information, a speech utterance;
providing a candidate word that corresponds to the speech utterance;
detecting a selection or cancellation of the candidate word within an initial timeout period;
detecting a cancellation of a selected candidate word after an expiration of the initial timeout period; and
if the cancelled candidate word was a default selection by virtue of an expiration of the initial timeout period, automatically increasing the initial timeout period.
US11/556,227 2006-11-03 2006-11-03 Speech recognition with adjustable timeout period Expired - Fee Related US8355913B2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US11/556,227 US8355913B2 (en) 2006-11-03 2006-11-03 Speech recognition with adjustable timeout period
PCT/IB2007/002900 WO2008053290A1 (en) 2006-11-03 2007-09-24 Improved input method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US11/556,227 US8355913B2 (en) 2006-11-03 2006-11-03 Speech recognition with adjustable timeout period

Publications (2)

Publication Number Publication Date
US20080109220A1 US20080109220A1 (en) 2008-05-08
US8355913B2 true US8355913B2 (en) 2013-01-15

Family

ID=39062301

Family Applications (1)

Application Number Title Priority Date Filing Date
US11/556,227 Expired - Fee Related US8355913B2 (en) 2006-11-03 2006-11-03 Speech recognition with adjustable timeout period

Country Status (2)

Country Link
US (1) US8355913B2 (en)
WO (1) WO2008053290A1 (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140047000A1 (en) * 2012-08-07 2014-02-13 Ca, Inc. Systems and methods for throttling polling
US9082407B1 (en) * 2014-04-15 2015-07-14 Google Inc. Systems and methods for providing prompts for voice commands
US20190228773A1 (en) * 2018-01-23 2019-07-25 Beijing Baidu Netcom Science And Technology Co., Ltd. Speech interaction method, apparatus and computer readable storage medium
US11021833B1 (en) * 2016-01-23 2021-06-01 GreenFill LLC Systems, methods, and apparatuses for managing the mixture and delivery of a plurality of laundry products to a plurality of washing machines

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007286356A (en) * 2006-04-17 2007-11-01 Funai Electric Co Ltd Electronic equipment
US8380499B2 (en) * 2008-03-31 2013-02-19 General Motors Llc Speech recognition adjustment based on manual interaction
JP5250066B2 (en) * 2011-03-04 2013-07-31 東芝テック株式会社 Information processing apparatus and program
WO2012155079A2 (en) * 2011-05-12 2012-11-15 Johnson Controls Technology Company Adaptive voice recognition systems and methods
US8825493B2 (en) 2011-07-18 2014-09-02 At&T Intellectual Property I, L.P. Method and apparatus for social network communication over a media network
US9858038B2 (en) * 2013-02-01 2018-01-02 Nuance Communications, Inc. Correction menu enrichment with alternate choices and generation of choice lists in multi-pass recognition systems
JP6226321B2 (en) * 2013-10-23 2017-11-08 株式会社サン・フレア Translation support system, translation support system server, translation support system client, translation support system control method, and program thereof
JP5748381B1 (en) * 2014-07-31 2015-07-15 楽天株式会社 Message processing apparatus, message processing method, recording medium, and program
JP2018116206A (en) * 2017-01-20 2018-07-26 アルパイン株式会社 Voice recognition device, voice recognition method and voice recognition system
WO2019130538A1 (en) * 2017-12-28 2019-07-04 マクセル株式会社 Input information correction method and information terminal
US10490207B1 (en) * 2018-05-11 2019-11-26 GM Global Technology Operations LLC Automated speech recognition using a dynamically adjustable listening timeout
US10963640B2 (en) * 2019-06-28 2021-03-30 Microsoft Technology Licensing, Llc System and method for cooperative text recommendation acceptance in a user interface

Citations (31)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5640143A (en) * 1995-02-06 1997-06-17 Mytech Corporation Occupancy sensor and method of operating same
US5737392A (en) * 1995-12-27 1998-04-07 Lucent Technologies Inc. Two-pass directory entry device and method
WO1998050907A1 (en) 1997-05-06 1998-11-12 Speechworks International, Inc. System and method for developing interactive speech applications
US5864805A (en) * 1996-12-20 1999-01-26 International Business Machines Corporation Method and apparatus for error correction in a continuous dictation system
US20020105575A1 (en) * 2000-12-05 2002-08-08 Hinde Stephen John Enabling voice control of voice-controlled apparatus
US6493673B1 (en) * 1998-07-24 2002-12-10 Motorola, Inc. Markup language for interactive services and methods thereof
US20030023435A1 (en) * 2000-07-13 2003-01-30 Josephson Daryl Craig Interfacing apparatus and methods
US6654895B1 (en) * 1999-11-08 2003-11-25 Intel Corporation Adaptive power management in a computing system
EP1376999A1 (en) 2002-06-21 2004-01-02 BRITISH TELECOMMUNICATIONS public limited company Spoken alpha-numeric sequence entry system with repair mode
US6721698B1 (en) * 1999-10-29 2004-04-13 Nokia Mobile Phones, Ltd. Speech recognition from overlapping frequency bands with output data reduction
EP1435605A2 (en) 2002-12-31 2004-07-07 Samsung Electronics Co., Ltd. Method and apparatus for speech recognition
US6804643B1 (en) * 1999-10-29 2004-10-12 Nokia Mobile Phones Ltd. Speech recognition
US20050071172A1 (en) * 2003-09-29 2005-03-31 Frances James Navigation and data entry for open interaction elements
US20050154591A1 (en) * 2004-01-10 2005-07-14 Microsoft Corporation Focus tracking in dialogs
US20050171775A1 (en) * 2001-12-14 2005-08-04 Sean Doyle Automatically improving a voice recognition system
WO2005101326A1 (en) 2004-04-19 2005-10-27 Jostens, Inc. System and method for smoothing three-dimensional images
US20060050638A1 (en) * 1999-01-08 2006-03-09 Michael Meyer Communication device and method
US20060080096A1 (en) * 2004-09-29 2006-04-13 Trevor Thomas Signal end-pointing method and system
US20060235685A1 (en) * 2005-04-15 2006-10-19 Nokia Corporation Framework for voice conversion
US20060293889A1 (en) * 2005-06-27 2006-12-28 Nokia Corporation Error correction for speech recognition systems
US20070004462A1 (en) * 2005-06-29 2007-01-04 Paul Lafata Mobile communication terminal
US7194409B2 (en) * 2000-11-30 2007-03-20 Bruce Balentine Method and system for preventing error amplification in natural language dialogues
US7197456B2 (en) * 2002-04-30 2007-03-27 Nokia Corporation On-line parametric histogram normalization for noise robust speech recognition
US20070100635A1 (en) * 2005-10-28 2007-05-03 Microsoft Corporation Combined speech and alternate input modality to a mobile device
US7269556B2 (en) * 2002-03-27 2007-09-11 Nokia Corporation Pattern recognition
US7319956B2 (en) * 1997-05-27 2008-01-15 Sbc Properties, L.P. Method and apparatus to perform speech reference enrollment based on input speech characteristics
US7334050B2 (en) * 2000-06-07 2008-02-19 Nvidia International, Inc. Voice applications and voice-based interface
US20080154600A1 (en) * 2006-12-21 2008-06-26 Nokia Corporation System, Method, Apparatus and Computer Program Product for Providing Dynamic Vocabulary Prediction for Speech Recognition
US20080169942A1 (en) * 2007-01-12 2008-07-17 Sony Ericsson Mobile Communications Ab Adaptive multitap timeout
US20090222265A1 (en) * 2005-12-14 2009-09-03 Ryo Iwamiya Voice Recognition Apparatus
US20100114944A1 (en) * 2008-10-31 2010-05-06 Nokia Corporation Method and system for providing a voice interface

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2005013262A1 (en) * 2003-08-01 2005-02-10 Philips Intellectual Property & Standards Gmbh Method for driving a dialog system

Patent Citations (35)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5640143A (en) * 1995-02-06 1997-06-17 Mytech Corporation Occupancy sensor and method of operating same
US5737392A (en) * 1995-12-27 1998-04-07 Lucent Technologies Inc. Two-pass directory entry device and method
US5864805A (en) * 1996-12-20 1999-01-26 International Business Machines Corporation Method and apparatus for error correction in a continuous dictation system
WO1998050907A1 (en) 1997-05-06 1998-11-12 Speechworks International, Inc. System and method for developing interactive speech applications
US7319956B2 (en) * 1997-05-27 2008-01-15 Sbc Properties, L.P. Method and apparatus to perform speech reference enrollment based on input speech characteristics
US6493673B1 (en) * 1998-07-24 2002-12-10 Motorola, Inc. Markup language for interactive services and methods thereof
US20060050638A1 (en) * 1999-01-08 2006-03-09 Michael Meyer Communication device and method
US6804643B1 (en) * 1999-10-29 2004-10-12 Nokia Mobile Phones Ltd. Speech recognition
US6721698B1 (en) * 1999-10-29 2004-04-13 Nokia Mobile Phones, Ltd. Speech recognition from overlapping frequency bands with output data reduction
US6654895B1 (en) * 1999-11-08 2003-11-25 Intel Corporation Adaptive power management in a computing system
US7334050B2 (en) * 2000-06-07 2008-02-19 Nvidia International, Inc. Voice applications and voice-based interface
US20030023435A1 (en) * 2000-07-13 2003-01-30 Josephson Daryl Craig Interfacing apparatus and methods
US7194409B2 (en) * 2000-11-30 2007-03-20 Bruce Balentine Method and system for preventing error amplification in natural language dialogues
US20020105575A1 (en) * 2000-12-05 2002-08-08 Hinde Stephen John Enabling voice control of voice-controlled apparatus
US7668710B2 (en) * 2001-12-14 2010-02-23 Ben Franklin Patent Holding Llc Determining voice recognition accuracy in a voice recognition system
US7103542B2 (en) * 2001-12-14 2006-09-05 Ben Franklin Patent Holding Llc Automatically improving a voice recognition system
US20050171775A1 (en) * 2001-12-14 2005-08-04 Sean Doyle Automatically improving a voice recognition system
US7269556B2 (en) * 2002-03-27 2007-09-11 Nokia Corporation Pattern recognition
US7197456B2 (en) * 2002-04-30 2007-03-27 Nokia Corporation On-line parametric histogram normalization for noise robust speech recognition
EP1376999A1 (en) 2002-06-21 2004-01-02 BRITISH TELECOMMUNICATIONS public limited company Spoken alpha-numeric sequence entry system with repair mode
US20040153321A1 (en) * 2002-12-31 2004-08-05 Samsung Electronics Co., Ltd. Method and apparatus for speech recognition
EP1435605A2 (en) 2002-12-31 2004-07-07 Samsung Electronics Co., Ltd. Method and apparatus for speech recognition
US20050071172A1 (en) * 2003-09-29 2005-03-31 Frances James Navigation and data entry for open interaction elements
US20050154591A1 (en) * 2004-01-10 2005-07-14 Microsoft Corporation Focus tracking in dialogs
WO2005101326A1 (en) 2004-04-19 2005-10-27 Jostens, Inc. System and method for smoothing three-dimensional images
US20060080099A1 (en) * 2004-09-29 2006-04-13 Trevor Thomas Signal end-pointing method and system
US20060080096A1 (en) * 2004-09-29 2006-04-13 Trevor Thomas Signal end-pointing method and system
US20060235685A1 (en) * 2005-04-15 2006-10-19 Nokia Corporation Framework for voice conversion
US20060293889A1 (en) * 2005-06-27 2006-12-28 Nokia Corporation Error correction for speech recognition systems
US20070004462A1 (en) * 2005-06-29 2007-01-04 Paul Lafata Mobile communication terminal
US20070100635A1 (en) * 2005-10-28 2007-05-03 Microsoft Corporation Combined speech and alternate input modality to a mobile device
US20090222265A1 (en) * 2005-12-14 2009-09-03 Ryo Iwamiya Voice Recognition Apparatus
US20080154600A1 (en) * 2006-12-21 2008-06-26 Nokia Corporation System, Method, Apparatus and Computer Program Product for Providing Dynamic Vocabulary Prediction for Speech Recognition
US20080169942A1 (en) * 2007-01-12 2008-07-17 Sony Ericsson Mobile Communications Ab Adaptive multitap timeout
US20100114944A1 (en) * 2008-10-31 2010-05-06 Nokia Corporation Method and system for providing a voice interface

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Patent Cooperation Treaty, "Notification of Transmittal of the International Search Report and the Written Opinion of the International Searching Authority, or the Declaration." Application No. PCT/IB2007/002900, mailed Mar. 6, 2008.

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140047000A1 (en) * 2012-08-07 2014-02-13 Ca, Inc. Systems and methods for throttling polling
US9705733B2 (en) * 2012-08-07 2017-07-11 Ca, Inc. Systems and methods for throttling polling
US9082407B1 (en) * 2014-04-15 2015-07-14 Google Inc. Systems and methods for providing prompts for voice commands
US11021833B1 (en) * 2016-01-23 2021-06-01 GreenFill LLC Systems, methods, and apparatuses for managing the mixture and delivery of a plurality of laundry products to a plurality of washing machines
US20190228773A1 (en) * 2018-01-23 2019-07-25 Beijing Baidu Netcom Science And Technology Co., Ltd. Speech interaction method, apparatus and computer readable storage medium
US10991372B2 (en) * 2018-01-23 2021-04-27 Beijing Baidu Netcom Scienc And Technology Co., Ltd. Method and apparatus for activating device in response to detecting change in user head feature, and computer readable storage medium

Also Published As

Publication number Publication date
US20080109220A1 (en) 2008-05-08
WO2008053290A1 (en) 2008-05-08

Similar Documents

Publication Publication Date Title
US8355913B2 (en) Speech recognition with adjustable timeout period
US7164753B2 (en) Real-time transcription correction system
US7209880B1 (en) Systems and methods for dynamic re-configurable speech recognition
US6336091B1 (en) Communication device for screening speech recognizer input
US6012030A (en) Management of speech and audio prompts in multimodal interfaces
US7684984B2 (en) Method for recognizing speech/speaker using emotional change to govern unsupervised adaptation
JP5281659B2 (en) Spoken dialogue apparatus, dialogue control method, and dialogue control program
US6321197B1 (en) Communication device and method for endpointing speech utterances
US20060247927A1 (en) Controlling an output while receiving a user input
EP1994529B1 (en) Communication device having speaker independent speech recognition
JP4246703B2 (en) Automatic speech recognition method
CN111325039B (en) Language translation method, system, program and handheld terminal based on real-time call
KR100567828B1 (en) Apparatus And Method for Enhanced Voice Recognition
AU760377B2 (en) A method and a system for voice dialling
JP3933813B2 (en) Spoken dialogue device
JP3897554B2 (en) Key input method and electrical equipment using the same
CN212907066U (en) System for optimizing voice control
JP2004212533A (en) Voice command adaptive equipment operating device, voice command adaptive equipment, program, and recording medium
JP4658022B2 (en) Speech recognition system
US20080114597A1 (en) Method and apparatus
JP4201455B2 (en) Speech recognition system
JP2003058184A (en) Equipment control system, device, method and program for recognizing voice
CN111274828B (en) Language translation method, system, computer program and handheld terminal based on message leaving
JP2007272123A (en) Voice operation system

Legal Events

Date Code Title Description
AS Assignment

Owner name: NOKIA CORPORATION, FINLAND

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:KISS, IMRE;REEL/FRAME:018852/0594

Effective date: 20070110

FEPP Fee payment procedure

Free format text: PAYOR NUMBER ASSIGNED (ORIGINAL EVENT CODE: ASPN); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

REMI Maintenance fee reminder mailed
LAPS Lapse for failure to pay maintenance fees
AS Assignment

Owner name: NOKIA TECHNOLOGIES OY, FINLAND

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:NOKIA CORPORATION;REEL/FRAME:041006/0101

Effective date: 20150116

STCH Information on status: patent discontinuation

Free format text: PATENT EXPIRED DUE TO NONPAYMENT OF MAINTENANCE FEES UNDER 37 CFR 1.362

FP Lapsed due to failure to pay maintenance fee

Effective date: 20170115